The startup offers a solar monitoring platform that centralizes historical and operational data to enhance the performance of solar fields. By detecting anomalies and outages while providing automated analytics for reporting and communication, the platform helps companies increase returns and lower operational costs in the solar and storage industry.
Funding
$550K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Solar and storage asset owners face challenges in maximizing returns and minimizing operational costs due to fragmented data, undetected anomalies, and inefficient communication across teams. Traditional monitoring systems often lack advanced analytics and predictive capabilities, hindering proactive maintenance and optimal performance.
Solution
Quadrical Ai offers a technical asset management platform that centralizes historical and real-time operational data for solar and storage assets, enhancing performance through digital twin technology. The platform employs prediction and anomaly detection AI to identify issues before they escalate, enabling prescriptive and preventative maintenance. Automated analytics provide insights for reporting and communication, ensuring all stakeholders have a single source of truth. By integrating data engineering, advanced mathematics, and AI, Quadrical Ai helps companies increase energy generation by 2-4%, reduce O&M costs by 15%, and achieve a 10X return on investment.
Target Audience
The primary target audience includes solar and storage asset owners, operators, O&M teams, asset managers, and investors seeking to optimize the performance and value of their renewable energy portfolios.
Features
- Digital twin models that create detailed, personalized replicas of solar and storage plants for accurate yield prediction
- Real-time monitoring and reporting platform with proactive analytics built-in
- Automated ticketing system that prioritizes maintenance based on revenue impact
- Snap-on advanced analytics to add predictive intelligence to existing monitoring systems
- Plant audit feature for personalized performance assessment and identification of hidden losses
- Forecasting add-on for accurate future production prediction (98.4% accuracy)
- Remote Operations Center (ROC) add-on for 24/7 performance analysis and issue resolution
- Hardware-agnostic connection for seamless integration with 100+ cloud APIs, SCADA systems, and inverter portals
- AI-first data lake that centralizes and cleans raw data in real-time